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Wednesday, September 9, 2009

September 15, 2009 Meeting Feature Tony Rathburn

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ATTENTION ALL DATA WAREHOUSE AND BUSINESS INTELLIGENCE PROFESSIONALS IN THE MINNEAPOLIS/ST. PAUL AREA

Predictive Analytics - Getting it off the Ground and Into Orbit

Traditionally, organizations use data tactically - to manage operations. For competitive edge, leading organizations use data strategically - to expand the business, to improve profitability, to reduce costs, anticipate behavior, and market more effectively. The mining of data for predictive indicators creates information assets that an organization can leverage to achieve these strategic objectives.

For many of us, predictive analytics is a new component in an enterprise's decision support, data warehouse, and business intelligence architecture. The 2007 TDWI Best Practices Report, Predictive Analytics, Extending the Value of Your Data Warehousing Investment cites that despite its enormous potential, predictive analytics remains in an early adopter phase. Lack of understanding and business alignment challenges are frequently identified as barriers. The topic is gaining importance as cited recently in an Information Management special report where predictive analytics was identified as one of 10 Red Hot BI Trends.

The September 15, 2009 meeting of the TDWI Minneapolis chapter will feature Tony Rathburn, a twenty year veteran and thought leader in the use of predictive analytics. Thanks to the support of our local sponsors, our local TDWI chapter is able to bring this nationally known and dynamic subject matter expect to help us understand this key information asset.
We invite you to attend and learn about predictive analytics and how it complements and interlocks with other BI capabilities such as query and reporting, on-line analytical processing (OLAP), data visualization, and traditional statistical analysis.

Tony’s presentation will provide insight for anyone wishing to learn about the role that predictive analytics can play within the enterprise.

You Will Learn:

The levels and definitions of analytics

Principles and terminology for predictive analytics

How to define business objectives for a predictive analytics model

Conceptual foundation to common predictive analytics technologies

How an organization can get started using existing or easily acquired tools.

Combined with the networking and conversation that every TDWI chapter meeting offers, this meeting will provide insight for advanced or novice BI professionals including managers, analysts, developers, or designers.

Please RSVP here. Space is limited so sign up early! To become a member at a 10% discount, please click here and use priority codemincpt1. For more information about TDWI Membership, contactchapters@tdwi.org.

Speaker Bios

Thomas A. (Tony) Rathburn has more than 20 years of experience in the business utilization of predictive analytics technologies. Mr. Rathburn taught MIS and statistics while an instructor in the College of Business at Kent State University. He also served as vice president of applied technologies for NeuralWare, Incorporated, a neural network tools and consulting company. Mr. Rathburn is a senior consultant with The Modeling Agency—a Pennsylvania company that provides guidance and results for those who are data rich, yet information poor.